Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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Data Science Dojo

SEPTEMBER 8, 2023

Read more –> Data Science vs AI – What is 2023 demand for? Machine Learning and Deep Learning: The Power Duo Machine Learning (ML) and Deep Learning (DL) are two critical branches of AI that bring exceptional capabilities to predictive analytics. Uses deep learning, natural language processing, and computer vision.

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NYU Center for Data Science

JUNE 8, 2023

The NYU AI School returned with its fourth iteration this summer, May 31 — June 4, 2023. The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute.

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages.

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Dataversity

DECEMBER 16, 2022

2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning. Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements.

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Data Science Dojo

MAY 18, 2023

In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.

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Towards AI

MARCH 21, 2023

Last Updated on March 21, 2023 by Editorial Team Author(s): Ivan Reznikov Originally published on Towards AI. When I was younger, I was sure that ML could, if not overperform, at least match the pre-ML-era solutions almost everywhere. ML algorithms can improve their performance as more data is used for training.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Machine Learning Machine Learning ML ML 134

Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

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Machine Learning Machine Learning Algorithm AI 195

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. 2023| New| NA|36895.00|36895|

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Pickl AI

JANUARY 29, 2024

2024 Tech breakdown: Understanding Data Science vs ML vs AI Quoting Eric Schmidt , the former CEO of Google, ‘There were 5 exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.’ AI comprises Natural Language Processing, computer vision, and robotics.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job.

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Data Science Dojo

AUGUST 28, 2023

Development to production workflow LLMs Large Language Models (LLMs) represent a novel category of Natural Language Processing (NLP) models that have significantly surpassed previous benchmarks across a wide spectrum of tasks, including open question-answering, summarization, and the execution of nearly arbitrary instructions.

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Towards AI

MAY 3, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. This is where ML CoPilot enters the scene. In this paper, the authors suggest the use of LLMs to make use of past ML experiences to suggest solutions for new ML tasks.

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ML ML Machine Learning Machine Learning 78

Mlearning.ai

AUGUST 4, 2023

In recent years, the field of natural language processing (NLP) has witnessed a remarkable shift in the way sequential data is processed… Continue reading on MLearning.ai »

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AWS Machine Learning Blog

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. During the datathon, my team member and I conducted research on different ML models (LightGBM, logistic regression, SVM models, Random Forest Classifier, etc.)

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Mlearning.ai

JULY 22, 2023

Natural Language Processing (NLP) has been a rapidly evolving field over the last decade, with groundbreaking research and advancements in… Continue reading on MLearning.ai »

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Data Science Dojo

OCTOBER 27, 2023

Data Science Dojo Large Language Models Bootcamp The Data Science Dojo Large Language Models Bootcamp is a 5-day in-person bootcamp that teaches you everything you need to know about large language models (LLMs) and their real-world applications. Students will start with the basics and gradually delve into advanced topics.

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Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business. Elite Service Delivery partner of NVIDIA.

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Gaugarin Oliver Originally published on Towards AI. It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. This study by Bui et al.

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Towards AI

MAY 2, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. Use plain English to build ML models to identify profitable customer segments. In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills.

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The MLOps Blog

FEBRUARY 15, 2024

TL;DR In 2023, the tech industry saw waves of layoffs, which will likely continue into 2024. Neither teams working on proof-of-concept projects nor production ML systems are immune from job cuts. If Oxford declared that the word of the year for 2023 was ‘layoff,’ it wouldn’t surprise tens of thousands of people across the globe.

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ODSC - Open Data Science

APRIL 11, 2023

Julien Simon | Chief Evangelist | Hugging Face Interpreting Features in Deep Networks Despite significant advances in interpretable machine learning in recent years, many ML models — especially deep networks — to understand and control. At ODSC East 2023 this May, we have an entire track devoted to NLP.

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Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance. What is Machine Learning?

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ODSC - Open Data Science

JUNE 7, 2023

Leverage Compound Sparsity to Achieve the Fastest Inference Performance on CPUs: Damian Bogunowicz and Konstantin Gulin | Machine Learning Engineers | Neural Magic Few-shot Learning for Natural Language Understanding: Helen Yannakoudakis | Assistant Professor | King’s College London Probabilistic Machine Learning for Finance and Investing: Deepak Kanungo (..)

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Flipboard

JULY 31, 2023

Underneath AI, we have Machine Learning (ML) , which is a type of AI that enables computers to learn without being explicitly programmed. AI in Blog Writing AI blog writing software operates on Natural Language Processing (NLP) , a branch of AI that deals with the interaction between computers and human language.

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Data Science Dojo

JANUARY 20, 2023

Bellevue, Washington (January 11, 2023) – The following statement was released today by Data Science Dojo, through its Marketing Manager Nathan Piccini, in response to questions about future in-person bootcamps: “They’re back.” Just because the bootcamp ends, doesn’t mean your education does.

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ODSC - Open Data Science

AUGUST 15, 2023

More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)

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Machine Learning Machine Learning Data Science Data Scientist 52

Snorkel AI

MAY 4, 2023

In the era of large language models (LLMs), your data is the difference maker. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. AI development stack: AutoML, ML frameworks, no-code/low-code development. Explore the full agenda here.

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Snorkel AI

MAY 4, 2023

In the era of large language models (LLMs), your data is the difference maker. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. AI development stack: AutoML, ML frameworks, no-code/low-code development. Explore the full agenda here.

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AI AI Natural Language Processing ML 52

Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts.

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Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts.

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Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts.

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Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced).

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NYU Center for Data Science

MARCH 15, 2023

It is supported by the NYU ML² Machine Learning for Language Lab , a team of researchers developing machine-learning methods for natural language processing (NLP) affiliated with the CILVR Lab , and the Center for Data Science. Please visit NYU AI School’s YouTube channel to view the recently published lectures.

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Mlearning.ai

MAY 31, 2023

With advancements in Natural Language Processing (NLP) and the introduction of models like ChatGPT, chatbots have become increasingly popular and powerful tools for automating conversations. In this article, we will explore the process of creating a simple chatbot using Python and NLP techniques.

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